Geldof, TineVan Damme, NancyHuys, IsabelleVan Dyck, Walter2020-01-082020-01-08202010.3389/fphar.2019.0166532116674http://hdl.handle.net/20.500.12127/6426Little research has been done in pharmacoepidemiology on the use of machine learning for exploring medicinal treatment effectiveness in oncology. Therefore, the aim of this study was to explore the added value of machine learning methods to investigate individual treatment responses for glioblastoma patients treated with temozolomide.enReal-world Evidence (RWE)OncologyExploratory StudyPropensity Score ModelingDecision TreeMachine LearningFrontiers in Pharmacology17658131183